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‎Cogito.yaml‎

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---
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# Thank you for contributing!
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# In filling out this yaml file, please follow the criteria as described here:
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# https://osai-index.eu/contribute
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# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
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# stipulation that attribution should come in the form of a link to https://osai-index.eu/
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# and a citation to the peer-reviewed paper in which the dataset & criteria were published:
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# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).
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# Organization tags:
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# - National origin: United States
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# - Contributor type: Non-academic (Company)
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system:
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name: Cogito
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link: https://huggingface.co/deepcogito/cogito-671b-v2.1
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type: text
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performanceclass: latest
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basemodelname: DeepSeek-V3-Base
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endmodelname: Cogito v2.1 671B MoE
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endmodellicense: MIT License
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releasedate: 2025-10
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notes: Open-weight LLM post-trained on 'the open-licensed Deepseek base model from November 2024'.
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org:
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name: DeepCogito
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link: https://www.deepcogito.com/
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notes: Snowflake, an AI platform provider.
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# availability:
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datasources_basemodel:
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class: closed
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link:
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notes: Pretraining data not specified or documented besides the claim that it amounts to 14.8T tokens in Chinese and English. Proprietary dataset.
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datasources_endmodel:
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class: closed
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link:
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notes: No end model data sources found.
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weights_basemodel:
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class: open
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link: https://huggingface.co/deepseek-ai/DeepSeek-V3-Base
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notes: Base model weights made available on HuggingFace.
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weights_endmodel:
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class: open
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link: https://huggingface.co/deepcogito/cogito-671b-v2.1
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notes: End model weights made available on HuggingFace.
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trainingcode:
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class: closed
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link: https://github.com/DeepCogito/cogito-v2
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notes: Repo exists, but contains no training code.
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# documentation:
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code:
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class: closed
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link:
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notes: No code, so no documentation.
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hardware_architecture:
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class: closed
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link:
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notes: No information about hardware architecture found.
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preprint:
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class: closed
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link: https://www.deepcogito.com/research/cogito-v2-1
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notes: Release-by-blogpost.
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paper:
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class: closed
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link:
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notes: No peer-reviewed paper found.
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modelcard:
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class: partial
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link: https://huggingface.co/deepcogito/cogito-671b-v2.1
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notes: Model card contains primarily usage information.
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datasheet:
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class: closed
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link:
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notes: No datasheet found.
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# access:
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package:
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class: closed
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link:
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notes: No package found.
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api:
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class: closed
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link:
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notes: No API found.
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metaprompt: closed
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licenses:
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class: open
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link:
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notes: MIT License, an OSI-approved license.

‎Grok.yaml‎

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---
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# Thank you for contributing!
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# In filling out this yaml file, please follow the criteria as described here:
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# https://osai-index.eu/contribute
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# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
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# stipulation that attribution should come in the form of a link to https://osai-index.eu/
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# and a citation to the peer-reviewed paper in which the dataset & criteria were published:
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# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).
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# Organization tags:
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# - National origin: United States
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# - Contributor type: Non-academic (American Big Tech)
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system:
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name: Grok 2
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link: https://huggingface.co/xai-org/grok-2
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type: text
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performanceclass: latest
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basemodelname: unknown
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endmodelname: Grok 2
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endmodellicense: xAI Community License Agreement
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releasedate: 2025-08
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notes: Grok 2, an older version of the models used by xAI.
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org:
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name: xAI
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link: https://x.ai/
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notes: xAI, company founded by Elon Musk.
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# availability:
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datasources_basemodel:
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class: closed
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link:
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notes: No information about base model provided.
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datasources_endmodel:
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class: closed
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link:
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notes: No information about end model provided.
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weights_basemodel:
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class: closed
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link:
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notes: No base model weights provided.
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weights_endmodel:
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class: open
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link: https://huggingface.co/xai-org/grok-2
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notes: End model weights provided on HuggingFace.
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trainingcode:
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class: closed
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link:
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notes: No training code found.
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# documentation:
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code:
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class: closed
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link:
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notes: No code, so no documentation.
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hardware_architecture:
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class: closed
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link:
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notes: No information about hardware architecture found.
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preprint:
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class: closed
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link:
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notes: No preprint found.
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paper:
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class: closed
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link:
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notes: No peer-reviewed paper available.
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modelcard:
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class: closed
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link: https://huggingface.co/xai-org/grok-2
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notes: Model card provides only usage information.
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datasheet:
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class: closed
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link:
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notes: No datasheet available.
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# access:
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package:
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class: closed
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link:
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notes: No package available.
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api:
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class: closed
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link:
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notes: No API available.
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metaprompt: closed
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licenses:
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class: closed
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link: https://huggingface.co/xai-org/grok-2/blob/main/LICENSE
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notes: xAI Community License Agreement, not an OSI recognised open license.

‎LFM.yaml‎

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---
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# Thank you for contributing!
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# In filling out this yaml file, please follow the criteria as described here:
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# https://osai-index.eu/contribute
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# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
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# stipulation that attribution should come in the form of a link to https://osai-index.eu/
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# and a citation to the peer-reviewed paper in which the dataset & criteria were published:
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# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).
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# Organization tags:
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# - National origin: United States
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# - Contributor type: Non-academic (Company)
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system:
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name: LFM2
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link: https://huggingface.co/ibm-granite/granite-4.0-h-small
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type: text
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performanceclass: full
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basemodelname: unknown
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endmodelname: LFM2-8B-A1B
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endmodellicense: LFM Open License v1.0
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releasedate: 2025-10
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notes: Hybrid model for edge and on-device deployment.
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org:
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name: Liquid AI
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link: https://www.liquid.ai/
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notes: AI startup.
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# availability:
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datasources_basemodel:
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class: closed
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link:
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notes: No base model data sources found.
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datasources_endmodel:
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class: closed
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link:
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notes: No end model data sources found.
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weights_basemodel:
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class: closed
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link:
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notes: No base model weights published.
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weights_endmodel:
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class: open
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link: https://huggingface.co/LiquidAI/LFM2-8B-A1B
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notes: End model weights published on HuggingFace.
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trainingcode:
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class: closed
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link:
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notes: No training code found.
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# documentation:
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code:
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class: closed
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link:
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notes: No code, so no documentation.
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hardware_architecture:
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class: open
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link: https://arxiv.org/pdf/2511.23404
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notes: Hardware architecture outlined in preprint.
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preprint:
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class: open
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link: https://arxiv.org/pdf/2511.23404
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notes: Preprint published on arXiv.
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paper:
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class: closed
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link:
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notes: Paper listed as forthcoming.
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modelcard:
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class: partial
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link: https://huggingface.co/LiquidAI/LFM2-8B-A1B
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notes: Modelcard contains information about hardware architecture and training approach, but none about data sources and downstream risks.
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datasheet:
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class: closed
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link:
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notes: No datasheet found.
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# access:
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package:
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class: closed
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link:
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notes: No package found.
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api:
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class: closed
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link: https://playground.liquid.ai/login?callbackUrl=%2F
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notes: Demo available. No API found.
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metaprompt: closed
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licenses:
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class: closed
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link: https://huggingface.co/LiquidAI/LFM2-8B-A1B/blob/main/LICENSE
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notes: LFM Open License v1.0, not an OSI-approved license.

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